Research Article
A Novel Algorithm for Imbalance Data Classification Based on Neighborhood Hypergraph
| Dataset | SVM
| CS-EN-HN
| SMOTE + C4.5 | SMOTE-RSB* + C4.5 | NRSBoundary-SMOTE + C4.5 | N-HyperGraph |
| Bupa | 0.5181 | 0.8928 | 0.6468 | 0.6652 | 0.6401 | 0.6427 | Colic | 0.5645 | 0.8265 | 0.7960 | 0.7855 | 0.8102 | 0.9699 | Reprocessed | 0.5000 | 0.6750 | 0.7896 | 0.7565 | 0.7817 | 0.7662 | Machine | 0.5000 | 0.9201 | 0.9199 | 0.9359 | 0.9430 | 0.9437 | Labor | 0.8864 | 0.7500 | 0.7500 | 0.7655 | 0.8243 | 0.8875 | Tic | 0.8252 | 1.0000 | 0.8638 | 0.8941 | 0.8848 | 0.9959 | Iris | 0.9700 | 0.7500 | 0.9408 | 0.9197 | 0.9468 | 0.9450 | Seed | 0.9535 | 0.9780 | 0.9730 | 0.9782 | 0.9782 | 0.9535 | Vc | 0.5000 | 0.9750 | 0.8107 | 0.8380 | 0.8277 | 0.7381 | Glass | 0.7956 | 0.9894 | 0.8442 | 0.8640 | 0.8637 | 0.9400 | Haberman | 0.5079 | 0.5866 | 0.6255 | 0.6174 | 0.6636 | 0.9186 | Transfusion | 0.5286 | 0.8558 | 0.6813 | 0.7007 | 0.7048 | 0.9114 | Abalone (7 : 15) | 0.7986 | 1.0000 | 0.8901 | 0.9046 | 0.8627 | 0.9910 | Balance-scale | 0.5000 | 0.6256 | 0.5000 | 0.5000 | 0.5000 | 0.9452 | Abalone (9 : 18) | 0.6611 | 0.9333 | 0.7294 | 0.6514 | 0.7065 | 0.9978 | Yeast (POX : CTY) | 0.5000 | 0.8999 | 0.6881 | 0.8685 | 0.8762 | 0.9881 | Car | 0.5069 | 0.9792 | 0.9775 | 0.9775 | 0.9911 | 0.9888 | Yeast (ME2 : others) | 0.5000 | 0.6790 | 0.7894 | 0.7412 | 0.6916 | 0.9504 | Average | 0.6398 | 0.8509 | 0.7898 | 0.7980 | 0.8054 | 0.9152 |
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= 0.001 to 0.6.
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